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The deployment of autonomous systems that operate in unstructured environments necessitates algorithms to verify their safety. This can be challenging due to, e.g., black-box components in the control software, or undermodelled dynamics…

Systems and Control · Electrical Eng. & Systems 2020-06-17 John Jackson , Luca Laurenti , Eric Frew , Morteza Lahijanian

Autonomous underwater vehicles (AUV) are commonly used in many underwater applications. Recently, the usage of multi-rotor unmanned autonomous vehicles (UAV) for marine applications is receiving more attention in the literature. Usually,…

Robotics · Computer Science 2022-08-18 Barak Or , Itzik Klein

Underwater Vehicles have become more sophisticated, driven by the off-shore sector and the scientific community's rapid advancements in underwater operations. Notably, many underwater tasks, including the assessment of subsea…

Computer Vision and Pattern Recognition · Computer Science 2022-09-15 Ioannis Polymenis , Maryam Haroutunian , Rose Norman , David Trodden

Visual monitoring operations underwater require both observing the objects of interest in close-proximity, and tracking the few feature-rich areas necessary for state estimation.This paper introduces the first navigation framework, called…

In this article, the hydrodynamic characteristics of Autonomous Underwater Vehicles (AUVs) are investigated and analyzed under the influence of rotating flow fields, that were generated in a recirculating water tank via a rotating…

Fluid Dynamics · Physics 2021-04-29 A. Mitra , J. P. Panda , H. V. Warrior

Underwater vehicle-manipulator systems (UVMSs) are underwater robots equipped with one or more manipulators to perform intervention missions. This paper provides the mechanical, electrical, and software design of a novel UVMS equipped with…

Robotics · Computer Science 2024-08-27 Justin L. Sitler , Long Wang

Critical evaluation and understanding of ship responses in the ocean is important for not only the design and engineering of future platforms but also the operation and safety of those that are currently deployed. Simulations or experiments…

Machine Learning · Computer Science 2023-01-25 Kevin M. Silva , Kevin J. Maki

Fin actuators can be used for for both thrust generation and vectoring. Therefore, fin-driven autonomous underwater vehicles (AUVs) can achieve high maneuverability with a smaller number of actuators, but their control is challenging. This…

Robotics · Computer Science 2025-04-29 Walid Remmas , Christian Meurer , Yuya Hamamatsu , Ahmed Chemori , Maarja Kruusmaa

Recent advances in efficient design, perception algorithms, and computing hardware have made it possible to create improved human-robot interaction (HRI) capabilities for autonomous underwater vehicles (AUVs). To conduct secure missions as…

Robotics · Computer Science 2023-10-03 Jungseok Hong , Sadman Sakib Enan , Junaed Sattar

This paper proposes a novel parametric identification approach for linear systems using Deep Learning (DL) and the Modified Relay Feedback Test (MRFT). The proposed methodology utilizes MRFT to reveal distinguishing frequencies about an…

Systems and Control · Electrical Eng. & Systems 2020-10-20 Abdulla Ayyad , Mohamad Chehadeh , Mohammad I. Awad , Yahya Zweiri

Physical modeling of robotic system behavior is the foundation for controlling many robotic mechanisms to a satisfactory degree. Mechanisms are also typically designed in a way that good model accuracy can be achieved with relatively simple…

Machine Learning · Statistics 2019-07-01 Sebastian Riedel , Freek Stulp

To validate the safety of automated vehicles (AV), scenario-based testing aims to systematically describe driving scenarios an AV might encounter. In this process, continuous inputs such as velocities result in an infinite number of…

Machine Learning · Computer Science 2022-12-08 Max Winkelmann , Mike Kohlhoff , Hadj Hamma Tadjine , Steffen Müller

Multi-output regression problems are commonly encountered in science and engineering. In particular, multi-output Gaussian processes have been emerged as a promising tool for modeling these complex systems since they can exploit the…

Machine Learning · Computer Science 2022-03-29 Cen-You Li , Barbara Rakitsch , Christoph Zimmer

Direct design of a robot's rendered dynamics, such as in impedance control, is now a well-established control mode in uncertain environments. When the physical interaction port variables are not measured directly, dynamic and kinematic…

Robotics · Computer Science 2024-12-20 Kevin Haninger , Masayoshi Tomizuka

Autonomous underwater vehicles (AUV) have a wide variety of applications in the marine domain, including exploration, surveying, and mapping. Their navigation systems rely heavily on fusing data from inertial sensors and a Doppler velocity…

Robotics · Computer Science 2025-12-16 Zeev Yampolsky , Nadav Cohen , Itzik Klein

Improved designs for Autonomous Underwater Vehicles (AUV) are becoming increasingly important due to their utility in academic and industrial applications. However, a majority of such testing and design is carried out under conditions that…

Fluid Dynamics · Physics 2019-05-01 A. Mitra , J. P. Panda , H. V. Warrior

We introduce a launch device, called the remotely-enabled modular release mechanism, to augment rapid testing and prototyping of cooperative autonomy maritime applications by facilitating autonomous deployment of an autonomous underwater…

The performance of a guidance, navigation and control (GNC) system of an autonomous underwater vehicle (AUV) heavily depends on the correct tuning of its parameters. Our objective is to automatically tune these parameters with respect to…

Systems and Control · Electrical Eng. & Systems 2022-05-31 David Stenger , Maximilian Nitsch , Dirk Abel

Autonomous Underwater Vehicle-Manipulator systems (AUVMS) is a new tool for ocean exploration, the AUVMS path planning problem is addressed in this paper. AUVMS is a high dimension system with a large difference in inertia distribution,…

Robotics · Computer Science 2021-09-14 Xiaoxu Cao , Linyi Gu , JunChen Mu , Qian Zhang , Qi Song , Chunxiao Liu , Cong Qiu

The goal of system identification is to learn about underlying physics dynamics behind the time-series data. To model the probabilistic and nonparametric dynamics model, Gaussian process (GP) have been widely used; GP can estimate the…

Machine Learning · Statistics 2018-11-22 Young-Jin Park , Han-Lim Choi